Member of Technical Staff - Research, Post-Training

Job summary

Responsibilities

We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath.

• Improve existing methods and develop new techniques for large-scale model training, optimization, and inference
• Extend models to long-context and long-horizon tasks
• Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments